Staff Modeling and Simulation Lead

Onebrief; Northern (KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Onebrief, a distributed team building AI-powered workflow software for military planning, seeks a Staff-level analyst to own the models and data that drive AtomEngine, our cloud-based simulation engine. You will shape the entity catalog, defining sources, formulas, and defensible claims used by scenarios.

You will mentor analysts, direct AI-assisted research, and set tooling and test requirements in collaboration with Engineering.

Qualifications

• Experience applying modeling and simulation, systems engineering, operations research, or test and evaluation to complex systems.
• Ability to assess whether a model is credible for its intended use and explain why.
• Ability to translate competing needs into priorities, establish repeatable processes, and keep a large body of work organized.
• Practical experience directing AI agents through research or analytical tasks, including clear instructions, review checkpoints, and error correction.
• Clear technical communication and the confidence to work through disagreements with customers and SMEs.
• An investigative approach to simulation and wargaming to improve models.

Responsibilities

• Define modeling standards and defensible formulas, document assumptions and uncertainty.
• Maintain a catalog priorities roadmap across service branches, nations, and eras.
• Design AI-directed production instructions and quality controls for scalable entity creation.
• Lead VV&A activities across catalog segments with SME reviews.
• Collaborate with Engineering and customers to specify tools and testing requirements.
• Mentor analysts and author standards and knowledge articles.

Skills

Modeling & simulation

Systems engineering

Operations research

Test & evaluation

Quantitative judgment

Technical documentation

Tools

Version control

Test automation

QA tooling

Issue tracking

Job description

Consequential Work. Dedicated People.

About Onebrief

Onebrief builds collaboration and AI-powered workflow software for military planning and operational coordination.

Military planning is complex by nature, requiring teams to coordinate information, people, and decisions across systems and locations. Onebrief brings planning, collaboration, simulation, and AI into one connected environment, helping teams test strategies, adapt to changing conditions, and make decisions with greater clarity when the stakes are real.

We are a distributed team of builders from military, operational, and technology backgrounds who care deeply about improving how important work gets done. Some team members work remotely, while others work directly alongside customers in operational environments around the world.

Founded in 2019, Onebrief is backed by leading investors including General Catalyst, Battery Ventures, Insight Partners, Sapphire Ventures, and Human Capital. Valued at more than $2 billion, we continue to invest in product innovation, AI capabilities, and team growth.

The role

Military planners need to understand what a simulation can tell them, where its assumptions hold, and where they do not. At Onebrief, you will own the models and data that make those answers defensible in AtomEngine, our cloud-based simulation engine for military planning.

You will lead the technical standards and production workflows behind AtomEngine's entity catalog: how military platforms and capabilities are represented, which sources and formulas support their performance, and how that work is tested. Your judgment will shape the catalog that scenarios run on and the methods other analysts use to build it.

As a Staff-level individual contributor, you will set standards and mentor other analysts. You will stay hands-on with research, modeling, and validation while directing AI agents to scale first-pass research, data entry, documentation, and testing. You will define tooling and test requirements with Engineering and partner on implementation. Production software development is not the primary focus.

What you will own

• Modeling standards. Research and select credible sources. Adopt, adapt, or develop defensible formulas for weapon and sensor effects, fuel consumption, survivability, and other performance characteristics. Document assumptions, uncertainty, and the conditions under which a model can be trusted.

• Catalog priorities. Maintain a roadmap across service branches, nations, and eras. Work with Customer Relations to prioritize the catalog segments customers need most, and track coverage, freshness, and confidence so the team knows what to build or improve next.

• AI-directed production. Design the instructions, review checkpoints, and quality controls that analysts and AI agents use to create entities at scale. Review their work, correct errors, and turn successful methods into repeatable workflows. Define requirements for tools that improve production.

• Validation and testing. Lead verification, validation, and accreditation (VV&A) across catalog segments. Use source evidence and subject matter expert (SME) review to assess model credibility; partner with Engineering on continuous automated tests. Run competitive wargames with colleagues to expose gaps, challenge assumptions, and guide corrections.

• Technical judgment with customers. Build a network of SMEs and resolve contested modeling decisions with customers and internal teams. Explain the evidence behind the numbers, make limitations clear, and use feedback to improve the catalog.

• Shared working practices. Author standards and knowledge articles that others can apply consistently. Train and mentor analysts in research methods, modeling judgment, AI workflows, and VV&A so the catalog can grow without depending on one person's expertise.

What you bring

Experience applying modeling and simulation, systems engineering, operations research, or test and evaluation to complex systems. You can assess whether a model is credible for its intended use and explain why.

Quantitative judgment: you can evaluate performance formulas, identify weak assumptions, and decide when to use an existing approach or develop a new one. You can make defensible calls when evidence is incomplete or conflicting.

Ownership of complex technical work. You can translate competing needs into priorities, establish repeatable processes, and keep a large body of work organized, current, and traceable.

Practical experience directing AI agents through research or analytical tasks, including clear instructions, review checkpoints, and error correction. You can evaluate their output against source evidence.

Clear technical communication and the confidence to work through disagreements with customers and SMEs. You can turn your reasoning into standards and documentation others can follow.

An investigative approach to simulation and wargaming: you actively look for where a model breaks and use what you learn to improve it.

Additional experience we value

AFSIM or other military simulation environments, simulation authoring, or game modding.

Military doctrine, force structure, or platform performance.

Test automation, QA tooling, version control, or issue tracking.

Mentoring or establishing technical standards across a team.

What success looks like

Customer priorities translate into a clear catalog roadmap. Entities have traceable sources, documented assumptions, and evidence of validation. Analysts and AI agents follow repeatable production and review methods. Tests and wargames surface weaknesses that lead to corrections. Customers can understand both the basis and the limits of the models they use.